By Ming-hui Wu, Fan-wei Zhu (auth.), Qi Luo (eds.)
This quantity includes revised and prolonged study articles written through well known researchers partaking in WNIS 2009 convention. subject matters lined comprise instant details Networks, instant Networking applied sciences, cellular software program and companies, clever computing, community administration, energy engineering, regulate engineering, sign and picture Processing, computing device studying, keep an eye on platforms and functions, The publication will provide the states of arts of great advances in instant Networks and knowledge platforms and likewise function a superb reference paintings for researchers and graduate scholars engaged on instant Networks and data Systems.
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Extra info for Advances in Wireless Networks and Information Systems
The main results are as follows: there is 1) a positive relationship between service quality and customer satisfaction; 2) a positive relationship between customer satisfaction and behavioral intentions; 3) a positive relationship between customer satisfaction and trust; 4) a positive relationship between trust and commitment; 5) a positive relationship between commitment and behavioral intentions. The findings aim to enhance service quality and performance in banking. Keywords: Banking Services, Service Quality, Customer Satisfaction, Trust, Commitment.
Huffman Dictionary r1 r2 r2 rm (a) IRLC list l (in Huffman code) g1 g2 (b) A element in the IRLC list Fig. 1. 6GHz CPU and 2G RAM. 0. The four 256 × 256 images used in the experiments are illustrated in Fig. 2. (a) Lena (b) Peppers (c) F-16 (d) Sailboat Fig. 2. Four 256 × 256 images used in the experiments 24 W. Huang, S. Chen, and G. Zheng Fig. 3. Comparison of the CPU elapsed time Fig. 3 gives the comparison of the CPU elapsed time required by the encoding algorithm of the STC and the encoding algorithm of the IRLC.
Advances in Wireless Networks and Information Systems, LNEE 72, pp. 35–42. com © Springer-Verlag Berlin Heidelberg 2010 36 Y. -j. -j. Chen framework for workload autonomic database system, which will be the basis of this study in this paper . The modified workload autonomic system framework can be illustrated in Fig. 1 as follows. QRZOHGJH%DVH :RUNORDG&RQWURO 'DWDEDVH 6\VWHP0RQLWRULQJ :RUN/RDG :RUNORDG&KDUDFWHUL]DWLRQ :RUN/RDG'HWHFWLRQ 3URFHVV Fig. 1. The autonomic database framework The framework consists of the workload characterization component, performance-modeling component, workload control component, system-monitoring component and knowledge base system.